no code implementations • 13 Mar 2018 • Ivo Batkovic, Mario Zanon, Nils Lubbe, Paolo Falcone
We present a mathematical model to predict pedestrian motion over a finite horizon, intended for use in collision avoidance algorithms for autonomous driving.
Systems and Control
no code implementations • 1 Aug 2019 • Tommy Tram, Ivo Batkovic, Mohammad Ali, Jonas Sjöberg
In this paper, we propose a decision making algorithm intended for automated vehicles that negotiate with other possibly non-automated vehicles in intersections.
no code implementations • 30 Jan 2020 • Ivo Batkovic, Mohammad Ali, Paolo Falcone, Mario Zanon
In Model Predictive Control (MPC) formulations of trajectory tracking problems, infeasible reference trajectories and a-priori unknown constraints can lead to cumbersome designs, aggressive tracking, and loss of recursive feasibility.
no code implementations • 21 Apr 2020 • Xu Shen, Ivo Batkovic, Vijay Govindarajan, Paolo Falcone, Trevor Darrell, Francesco Borrelli
We investigate the problem of predicting driver behavior in parking lots, an environment which is less structured than typical road networks and features complex, interactive maneuvers in a compact space.
no code implementations • 10 Sep 2021 • Ivo Batkovic, Mohammad Ali, Paolo Falcone, Mario Zanon
Model Predictive Control (MPC) formulations are typically built on the requirement that a feasible reference trajectory is available.